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hb9397
hb9397COMMUNITY
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context-doc

Generate standardized AGENTS.md, CLAUDE.md, and modular instruction files from design documentation.

Updated Mar 5, 2026
Search Tags:#automation#architecture#documentation#context#ai-agent#instruction
One-click install
npx skills add https://github.com/hb9397/ai-agent-harness-docs --skill context-doc
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: context-doc
Source: https://github.com/hb9397/ai-agent-harness-docs/tree/main/plugins/ai-agent-harness/runtime/claude/skills/context-doc
Command: npx skills add https://github.com/hb9397/ai-agent-harness-docs --skill context-doc

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and assets (resource) components.

What problem does it solve?

This Skill solves the problem of inconsistent or missing project context for AI Agents by automatically generating standardized AGENTS.md, CLAUDE.md, and modular instruction files from design documentation.

Core Features & Use Cases

  • Context Standardization: Creates a thin, authoritative AGENTS.md project fact file and a CLAUDE.md bridge for seamless AI integration.
  • Modular Instruction Generation: Automatically splits coding rules, architecture constraints, and API schemas into specific .docs/instruction/ files based on design input.
  • Use Case: After completing a design document, use this Skill to generate a comprehensive set of project-specific rules that ensure your AI Agent follows your team's architecture, style, and communication protocols consistently.

Quick Start

Use the context-doc skill to generate the project context and instruction files based on the provided design document.

Frequently Asked Questions about context-doc

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate AI agent context files from design documentation?▼

To generate AI agent context files, use the context-doc skill to process design documentation and automatically output standardized project fact files like AGENTS.md and CLAUDE.md. This ensures your AI agent has consistent architectural constraints and behavioral rules.

What is the best way to standardize project context for AI agents?▼

The best way to standardize project context is to generate a thin, authoritative AGENTS.md project fact file and a CLAUDE.md bridge from design documentation. This provides seamless AI integration and standardized project facts.

Do I need to manually split coding rules to create modular instruction files for AI agents?▼

No, you do not need to manually split coding rules to create modular instruction files for AI agents. The skill automatically splits coding rules, architecture constraints, and API schemas into specific .docs/instruction/ files based on design input.

What is the best way to standardize project context for AI agents?▼

The best way to standardize project context is to generate a thin, authoritative AGENTS.md project fact file and a CLAUDE.md bridge from design documentation. This provides seamless AI integration and standardized project facts.

Do I need to manually split coding rules to create modular instruction files for AI agents?▼

No, you do not need to manually split coding rules to create modular instruction files for AI agents. The skill automatically splits coding rules, architecture constraints, and API schemas into specific .docs/instruction/ files based on design input.

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